Stable Distributed Nonlinear Filters Design with Homologous Unknown Inputs

This study proposes a distributed filter for nonlinear multi-agent system. The unscented Kalman filter (UKF) is adopted to establish the estimation. Compared with the previous research, this paper proposes a more practical model for industrial. The neighbors’ information of the homologous UIs are adopted to estimate the homologous UIs. The stochastic stability of the UKF-based distributed filter is analyzed. The simulation part, a adopted to validate the method.